Category Archives: Integration

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GitHub scales on demand with Azure Functions

GitHub is the home of the world’s software developers, with more than 100 million developers and 420 million total repositories across the platform. To keep everything running smoothly and securely, GitHub collects a tremendous amount of data through an in-house pipeline made up of several components. But even though it was built for fault tolerance […]

Azure Maps: Reimagining location services with cloud and AI innovation

I’m thrilled to share news about the evolution of our enterprise mapping software development kit (SDK) and API offerings. Today, we’re announcing the unification of our enterprise maps offerings under Microsoft Azure Maps.1 We are combining the technologies and data in Bing Maps for Enterprise with Azure Maps and retiring Bing Maps for Enterprise. This […]

Microsoft Azure AI celebrates Women’s History Month through our customers

As a young girl growing up, the tech world seemed like a distant reality, predominantly occupied by men. It wasn’t until my older sister pursued a degree in informatics in college that I realized the potential for women in technology. This revelation was not just about inspiring young girls like me but about fostering an […]

Microsoft named a Leader in 2024 Gartner® Magic Quadrant™ for Integration Platform as a Service 

We’re thrilled to announce that Microsoft has once again been named a Leader in the 2024 Gartner® Magic Quadrant™ for Integration Platform as a Service*. It’s the sixth time in a row that we’ve been recognized. Businesses have seen a sharp rise in the number of applications they manage. Seamlessly integrating applications across on-premises and […]

Modernize and build intelligent apps with support from Microsoft partner solutions

AI transformation drives significant business value, as a recent study of over 2000 business leaders and decision-makers found:  For every USD1 a company invests in AI, it realizes an average return of USD3.50. Organizations realize a return on their AI investments within 14 months. 92% of AI deployments take 12 months or less.  71% of […]